code: def __post_init_post_parse__(self):
      super().__post_init_post_parse__()
      self.rl_parameters = self.trainer_param.rl
  
file_path: ReAgent/reagent/model_managers/actor_critic/sac.py
imports: import logging
  from typing import Dict, Optional
  import torch
  from reagent.core.dataclasses import dataclass, field
  from reagent.core.parameters import NormalizationData, NormalizationKey, param_hash
  from reagent.model_managers.actor_critic_base import ActorCriticBase
  from reagent.net_builder.continuous_actor.gaussian_fully_connected import GaussianFullyConnected
  from reagent.net_builder.parametric_dqn.fully_connected import FullyConnected
  from reagent.net_builder.unions import ContinuousActorNetBuilder__Union, ParametricDQNNetBuilder__Union, ValueNetBuilder__Union
  from reagent.net_builder.value.fully_connected import FullyConnected
  from reagent.training import ReAgentLightningModule, SACTrainer, SACTrainerParameters
  from reagent.workflow.types import RewardOptions
label_desc: Use image node_id 1 for calling the SAC obj's underlying member method code with example usage: obj.__post_init_post_parse__() without return types